DBMS > JanusGraph vs. PostgreSQL vs. TerminusDB vs. Vitess vs. VoltDB
System Properties Comparison JanusGraph vs. PostgreSQL vs. TerminusDB vs. Vitess vs. VoltDB
| Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Name | JanusGraph  successor of Titan Xexclude from comparison | PostgreSQL Xexclude from comparison | TerminusDB former name was DataChemist Xexclude from comparison | Vitess Xexclude from comparison | VoltDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | A Graph DBMS optimized for distributed clusters It was forked from the latest code base of Titan in January 2017 | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships | Scalable, distributed, cloud-native DBMS, extending MySQL | Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Graph DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Graph DBMS | Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | Document store RDF store | Document store Spatial DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | janusgraph.org | www.postgresql.org | terminusdb.com | vitess.io | www.voltdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.janusgraph.org | www.postgresql.org/docs | terminusdb.github.io/terminusdb/# | vitess.io/docs | docs.voltdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Linux Foundation; originally developed as Titan by Aurelius | PostgreSQL Global Development Group www.postgresql.org/developer | DataChemist Ltd. | The Linux Foundation, PlanetScale | VoltDB Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2017 | 1989 1989: Postgres, 1996: PostgreSQL | 2018 | 2013 | 2010 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 0.6.3, February 2023 | 16.3, May 2024 | 11.0.0, January 2023 | 15.0.2, December 2022 | 11.3, April 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source Apache 2.0 | Open Source BSD | Open Source GPL V3 | Open Source Apache Version 2.0, commercial licenses available | Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Implementation language | Java | C | Prolog, Rust | Go | Java, C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux OS X Unix Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux | Docker Linux macOS | Linux OS X for development | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | yes specific XML-type available, but no XML query functionality. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | no | yes standard with numerous extensions | SQL-like query language (WOQL) | yes with proprietary extensions | yes only a subset of SQL 99 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster | ADO.NET JDBC native C library ODBC streaming API for large objects | OWL RESTful HTTP API WOQL (Web Object Query Language) | ADO.NET JDBC MySQL protocol ODBC | Java API JDBC RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | Clojure Java Python | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | JavaScript Python | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | C# C++ Erlang not officially supportedGo Java JavaScript Node.jsPHP Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | yes | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | yes | yes proprietary syntax | Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes | yes | yes | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | yes depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB) | partitioning by range, list and (since PostgreSQL 11) by hash | Graph Partitioning | Sharding | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | yes | Source-replica replication other methods possible by using 3rd party extensions | Journaling Streams | Multi-source replication Source-replica replication | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes via Faunus, a graph analytics engine | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Immediate Consistency | Immediate Consistency | Eventual Consistency across shards Immediate Consistency within a shard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | yes Relationships in graphs | yes | yes | yes not for MyISAM storage engine | no FOREIGN KEY constraints are not supported | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | ACID at shard level | ACID Transactions are executed single-threaded within stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes table locks or row locks depending on storage engine | yes Data access is serialized by the server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast | yes | yes in-memory journaling | yes | yes Snapshots and command logging | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | User authentification and security via Rexster Graph Server | fine grained access rights according to SQL-standard | Role-based access control | Users with fine-grained authorization concept no user groups or roles | Users and roles with access to stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| JanusGraph successor of Titan | PostgreSQL | TerminusDB former name was DataChemist | Vitess | VoltDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Recent citations in the news | Database Deep Dives: JanusGraph JanusGraph Picks Up Where TitanDB Left Off From graph db to graph embedding. In 7 simple steps. | by Andy Greatorex Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph Compose for JanusGraph arrives on Bluemix provided by Google News | PostgreSQL Tutorial: Definition, Commands, & Features Raise the bar on AI-powered app development with Azure Database for PostgreSQL How To Schedule PostgreSQL Backups With GitHub Actions How to implement a better like, views, comment counters in PostgreSQL? Enterprise DB begins rolling AI features into PostgreSQL provided by Google News | How TerminusDB is commercializing its open source graph database TerminusDB Takes on Data Collaboration with a git-Like Approach Trinity College spinout TerminusDB secures €3.6m in investment [MCR2030-CAMS-ARISE-UNDRR Webinar] Preventing cascading failures of critical assets: Using the Open-Source ... Irish start-ups received €28m from Enterprise Ireland in 2021 provided by Google News | PlanetScale Unveils Distributed MySQL Database Service Based on Vitess PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes They scaled YouTube -- now they’ll shard everyone with PlanetScale PlanetScale Serves up Vitess-Powered Serverless MySQL Massively Scaling MySQL Using Vitess provided by Google News | Unveiling Volt Active Data's game-changing approach to limitless app performance VoltDB Launches Active(N) Lossless Cross Data Center Replication VoltDB Turns to Real-Time Analytics with NewSQL Database VoltDB Upgrades Power, Security of Its In-Memory Database VoltDB Adds Geospatial Support, Cross-Site Replication provided by Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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